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Image processing [[electronic resource] ] : principles and applications / / Tinku Acharya, Ajoy K. Ray
| Image processing [[electronic resource] ] : principles and applications / / Tinku Acharya, Ajoy K. Ray |
| Autore | Acharya Tinku |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley, 2005 |
| Descrizione fisica | 1 online resource (454 p.) |
| Disciplina |
621.36/7
621.367 |
| Altri autori (Persone) | RayAjoy K. <1954-> |
| Soggetto topico | Image processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27831-5
9786610278312 0-470-32484-8 0-471-74579-0 0-471-74578-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Image Processing Principles and Applications; Contents; Preface; 1 Introduction; 1.1 Fundamentals of Image Processing; 1.2 Applications of Image Processing; 1.2.1 Automatic Visual Inspection System; 1.2.2 Remotely Sensed Scene Interpretation; 1.2.3 Biomedical Imaging Techniques; 1.2.4 Defense surveillance; 1.2.5 Content-Based Image Retrieval; 1.2.6 Moving-Object Tracking; 1.2.7 Image and Video Compression; 1.3 Human Visual Perception; 1.3.1 Human Eyes; 1.3.2 Neural Aspects of the Visual Sense; 1.4 Components of an Image Processing System; 1.4.1 Digital Camera; 1.5 Organization of the book
1.6 How is this book different?1.7 Summary; References; 2 Image Formation and Representation; 2.1 Introduction; 2.2 Image formation; 2.2.1 Illumination; 2.2.2 Reflectance Models; 2.2.3 Point Spread Function; 2.3 Sampling and Quantization; 2.3.1 Image Sampling; 2.3.2 Image Quantization; 2.4 Binary Image; 2.4.1 Geometric Properties; 2.4.2 Chain code representation of a binary object; 2.5 Three-Dimensional Imaging; 2.5.1 Stereo Images; 2.5.2 Range Image Aquisition; 2.6 Image file formats; 2.7 Some Important Notes; 2.8 Summary; References; 3 Color and Color Imagery; 3.1 Introduction 3.2 Perception of Colors3.3 Color Space Quantization and Just Noticeable Difference (JND); 3.4 Color Space and Transformation; 3.4.1 CMYK space; 3.4.2 NTSC or YIQ Color Space; 3.4.3 YCbCr Color Space; 3.4.4 Perceptually Uniform Color Space; 3.4.5 CIELAB color Space; 3.5 Color Interpolation or Demosaicing; 3.5.1 Nonadaptive Color Interpolation Algorithms; 3.5.2 Adaptive algorithms; 3.5.3 A Novel Adaptive Color Interpolation Algorithm; 3.5.4 Experimental Results; 3.6 Summary; Reference; 4 Image Transformation; 4.1 Introduction; 4.2 Fourier Transforms; 4.2.1 One-Dimensional Fourier Transform 4.2.2 Two-Dimensional Fourier Transform4.2.3 Discrete Fourier Transform (DFT); 4.2.4 Transformation Kernels; 4.2.5 Matrix Form Representation; 4.2.6 Properties; 4.2.7 Fast Fourier Transform; 4.3 Discrete Cosine Transform; 4.4 Walsh-Hadamard Transform (WHT); 4.5 Karhaunen-Loeve Transform or Principal Component Analysis; 4.5.1 Covariance Matrix; 4.5.2 Eigenvectors and Eigenvalues; 4.5.3 Principal Component Analysis; 4.5.4 Singular Value Decomposition; 4.6 Summary; References; 5 Discrete Wavelet Transform; 5.1 Introduction; 5.2 Wavelet Transforms; 5.2.1 Discrete Wavelet Transforms 5.2.2 Gabor filtering5.2.3 Concept of Multiresolution Analysis; 5.2.4 Implementation by Filters and the Pyramid Algorithm; 5.3 Extension to Two-Dimensional Signals; 5.4 Lifting Implementation of the DWT; 5.4.1 Finite Impulse Response Filter and Z-transform; 5.4.2 Euclidean Algorithm for Laurent Polynomials; 5.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 5.4.4 Lifting; 5.4.5 Data Dependency Diagram for Lifting Computation; 5.5 Advantages of Lifting-Based DWT; 5.6 Summary; References; 6 Image Enhancement and Restoration; 6.1 Introduction 6.2 Distinction between image enhancement and restoration |
| Record Nr. | UNINA-9910143578703321 |
Acharya Tinku
|
||
| Hoboken, N.J., : John Wiley, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image processing [[electronic resource] ] : principles and applications / / Tinku Acharya, Ajoy K. Ray
| Image processing [[electronic resource] ] : principles and applications / / Tinku Acharya, Ajoy K. Ray |
| Autore | Acharya Tinku |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley, 2005 |
| Descrizione fisica | 1 online resource (454 p.) |
| Disciplina |
621.36/7
621.367 |
| Altri autori (Persone) | RayAjoy K. <1954-> |
| Soggetto topico | Image processing |
| ISBN |
1-280-27831-5
9786610278312 0-470-32484-8 0-471-74579-0 0-471-74578-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Image Processing Principles and Applications; Contents; Preface; 1 Introduction; 1.1 Fundamentals of Image Processing; 1.2 Applications of Image Processing; 1.2.1 Automatic Visual Inspection System; 1.2.2 Remotely Sensed Scene Interpretation; 1.2.3 Biomedical Imaging Techniques; 1.2.4 Defense surveillance; 1.2.5 Content-Based Image Retrieval; 1.2.6 Moving-Object Tracking; 1.2.7 Image and Video Compression; 1.3 Human Visual Perception; 1.3.1 Human Eyes; 1.3.2 Neural Aspects of the Visual Sense; 1.4 Components of an Image Processing System; 1.4.1 Digital Camera; 1.5 Organization of the book
1.6 How is this book different?1.7 Summary; References; 2 Image Formation and Representation; 2.1 Introduction; 2.2 Image formation; 2.2.1 Illumination; 2.2.2 Reflectance Models; 2.2.3 Point Spread Function; 2.3 Sampling and Quantization; 2.3.1 Image Sampling; 2.3.2 Image Quantization; 2.4 Binary Image; 2.4.1 Geometric Properties; 2.4.2 Chain code representation of a binary object; 2.5 Three-Dimensional Imaging; 2.5.1 Stereo Images; 2.5.2 Range Image Aquisition; 2.6 Image file formats; 2.7 Some Important Notes; 2.8 Summary; References; 3 Color and Color Imagery; 3.1 Introduction 3.2 Perception of Colors3.3 Color Space Quantization and Just Noticeable Difference (JND); 3.4 Color Space and Transformation; 3.4.1 CMYK space; 3.4.2 NTSC or YIQ Color Space; 3.4.3 YCbCr Color Space; 3.4.4 Perceptually Uniform Color Space; 3.4.5 CIELAB color Space; 3.5 Color Interpolation or Demosaicing; 3.5.1 Nonadaptive Color Interpolation Algorithms; 3.5.2 Adaptive algorithms; 3.5.3 A Novel Adaptive Color Interpolation Algorithm; 3.5.4 Experimental Results; 3.6 Summary; Reference; 4 Image Transformation; 4.1 Introduction; 4.2 Fourier Transforms; 4.2.1 One-Dimensional Fourier Transform 4.2.2 Two-Dimensional Fourier Transform4.2.3 Discrete Fourier Transform (DFT); 4.2.4 Transformation Kernels; 4.2.5 Matrix Form Representation; 4.2.6 Properties; 4.2.7 Fast Fourier Transform; 4.3 Discrete Cosine Transform; 4.4 Walsh-Hadamard Transform (WHT); 4.5 Karhaunen-Loeve Transform or Principal Component Analysis; 4.5.1 Covariance Matrix; 4.5.2 Eigenvectors and Eigenvalues; 4.5.3 Principal Component Analysis; 4.5.4 Singular Value Decomposition; 4.6 Summary; References; 5 Discrete Wavelet Transform; 5.1 Introduction; 5.2 Wavelet Transforms; 5.2.1 Discrete Wavelet Transforms 5.2.2 Gabor filtering5.2.3 Concept of Multiresolution Analysis; 5.2.4 Implementation by Filters and the Pyramid Algorithm; 5.3 Extension to Two-Dimensional Signals; 5.4 Lifting Implementation of the DWT; 5.4.1 Finite Impulse Response Filter and Z-transform; 5.4.2 Euclidean Algorithm for Laurent Polynomials; 5.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 5.4.4 Lifting; 5.4.5 Data Dependency Diagram for Lifting Computation; 5.5 Advantages of Lifting-Based DWT; 5.6 Summary; References; 6 Image Enhancement and Restoration; 6.1 Introduction 6.2 Distinction between image enhancement and restoration |
| Record Nr. | UNINA-9910830222603321 |
|
Acharya Tinku
|
||
| Hoboken, N.J., : John Wiley, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image processing : principles and applications / / Tinku Acharya, Ajoy K. Ray
| Image processing : principles and applications / / Tinku Acharya, Ajoy K. Ray |
| Autore | Acharya Tinku |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley, 2005 |
| Descrizione fisica | 1 online resource (454 p.) |
| Disciplina | 621.36/7 |
| Altri autori (Persone) | RayAjoy K. <1954-> |
| Soggetto topico | Image processing |
| ISBN |
1-280-27831-5
9786610278312 0-470-32484-8 0-471-74579-0 0-471-74578-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Image Processing Principles and Applications; Contents; Preface; 1 Introduction; 1.1 Fundamentals of Image Processing; 1.2 Applications of Image Processing; 1.2.1 Automatic Visual Inspection System; 1.2.2 Remotely Sensed Scene Interpretation; 1.2.3 Biomedical Imaging Techniques; 1.2.4 Defense surveillance; 1.2.5 Content-Based Image Retrieval; 1.2.6 Moving-Object Tracking; 1.2.7 Image and Video Compression; 1.3 Human Visual Perception; 1.3.1 Human Eyes; 1.3.2 Neural Aspects of the Visual Sense; 1.4 Components of an Image Processing System; 1.4.1 Digital Camera; 1.5 Organization of the book
1.6 How is this book different?1.7 Summary; References; 2 Image Formation and Representation; 2.1 Introduction; 2.2 Image formation; 2.2.1 Illumination; 2.2.2 Reflectance Models; 2.2.3 Point Spread Function; 2.3 Sampling and Quantization; 2.3.1 Image Sampling; 2.3.2 Image Quantization; 2.4 Binary Image; 2.4.1 Geometric Properties; 2.4.2 Chain code representation of a binary object; 2.5 Three-Dimensional Imaging; 2.5.1 Stereo Images; 2.5.2 Range Image Aquisition; 2.6 Image file formats; 2.7 Some Important Notes; 2.8 Summary; References; 3 Color and Color Imagery; 3.1 Introduction 3.2 Perception of Colors3.3 Color Space Quantization and Just Noticeable Difference (JND); 3.4 Color Space and Transformation; 3.4.1 CMYK space; 3.4.2 NTSC or YIQ Color Space; 3.4.3 YCbCr Color Space; 3.4.4 Perceptually Uniform Color Space; 3.4.5 CIELAB color Space; 3.5 Color Interpolation or Demosaicing; 3.5.1 Nonadaptive Color Interpolation Algorithms; 3.5.2 Adaptive algorithms; 3.5.3 A Novel Adaptive Color Interpolation Algorithm; 3.5.4 Experimental Results; 3.6 Summary; Reference; 4 Image Transformation; 4.1 Introduction; 4.2 Fourier Transforms; 4.2.1 One-Dimensional Fourier Transform 4.2.2 Two-Dimensional Fourier Transform4.2.3 Discrete Fourier Transform (DFT); 4.2.4 Transformation Kernels; 4.2.5 Matrix Form Representation; 4.2.6 Properties; 4.2.7 Fast Fourier Transform; 4.3 Discrete Cosine Transform; 4.4 Walsh-Hadamard Transform (WHT); 4.5 Karhaunen-Loeve Transform or Principal Component Analysis; 4.5.1 Covariance Matrix; 4.5.2 Eigenvectors and Eigenvalues; 4.5.3 Principal Component Analysis; 4.5.4 Singular Value Decomposition; 4.6 Summary; References; 5 Discrete Wavelet Transform; 5.1 Introduction; 5.2 Wavelet Transforms; 5.2.1 Discrete Wavelet Transforms 5.2.2 Gabor filtering5.2.3 Concept of Multiresolution Analysis; 5.2.4 Implementation by Filters and the Pyramid Algorithm; 5.3 Extension to Two-Dimensional Signals; 5.4 Lifting Implementation of the DWT; 5.4.1 Finite Impulse Response Filter and Z-transform; 5.4.2 Euclidean Algorithm for Laurent Polynomials; 5.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 5.4.4 Lifting; 5.4.5 Data Dependency Diagram for Lifting Computation; 5.5 Advantages of Lifting-Based DWT; 5.6 Summary; References; 6 Image Enhancement and Restoration; 6.1 Introduction 6.2 Distinction between image enhancement and restoration |
| Record Nr. | UNINA-9910876965203321 |
|
Acharya Tinku
|
||
| Hoboken, N.J., : John Wiley, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
JPEG2000 standard for image compression [[electronic resource] ] : concepts, algorithms and VLSI architectures / / Tinku Acharya, Ping-Sing Tsai
| JPEG2000 standard for image compression [[electronic resource] ] : concepts, algorithms and VLSI architectures / / Tinku Acharya, Ping-Sing Tsai |
| Autore | Acharya Tinku |
| Pubbl/distr/stampa | Hoboken, N.J. ; ; [Chichester], : Wiley-Interscience, c2005 |
| Descrizione fisica | 1 online resource (294 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | TsaiPing-Sing <1962-> |
| Soggetto topico |
JPEG (Image coding standard)
Image compression |
| ISBN |
1-280-27275-9
9786610272754 0-470-32215-2 0-471-65375-6 0-471-65374-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
JPEG2000 Standard for Image Compression; Contents; Preface; 1 Introduction to Data Compression; 1.1 Introduction; 1.2 Why Compression?; 1.2.1 Advantages of Data Compression; 1.2.2 Disadvantages of Data Compression; 1.3 Information Theory Concepts; 1.3.1 Discrete Memoryless Model and Entropy; 1.3.2 Noiseless Source Coding Theorem; 1.3.3 Unique Decipherability; 1.4 Classification of Compression algorithms; 1.5 A Data Compression Model; 1.6 Compression Performance; 1.6.1 Compression Ratio and Bits per Sample; 1.6.2 Quality Metrics; 1.6.3 Coding Delay; 1.6.4 Coding Complexity
1.7 Overview of Image Compression1.8 Multimedia Data Compression Standards; 1.8.1 Still Image Coding Standard; 1.8.2 Video Coding Standards; 1.8.3 Audio Coding Standard; 1.8.4 Text Compression; 1.9 Summary; References; 2 Source Coding Algorithms; 2.1 Run-length Coding; 2.2 Huffman Coding; 2.2.1 Limitations of Huffman Coding; 2.2.2 Modified Huffman Coding; 2.3 Arithmetic Coding; 2.3.1 Encoding Algorithm; 2.3.2 Decoding Algorithm; 2.4 Binary Arithmetic Coding; 2.4.1 Implementation with Integer Mathematics; 2.4.2 The QM-Coder; 2.5 Ziv-Lempel Coding; 2.5.1 The LZ77 Algorithm 2.5.2 The LZ78 Algorithm2.5.3 The LZW Algorithm; 2.6 Summary; References; 3 JPEG: Still Image Compression Standard; 3.1 Introduction; 3.2 The JPEG Lossless Coding Algorithm; 3.3 Baseline JPEG Compression; 3.3.1 Color Space Conversion; 3.3.2 Source Image Data Arrangement; 3.3.3 The Baseline Compression Algorithm; 3.3.4 Discrete Cosine Transform; 3.3.5 Coding the DCT Coefficients; 3.3.6 Decompression Process in Baseline JPEG; 3.4 Progressive DCT-based Mode; 3.5 Hierarchical Mode; 3.6 Summary; References; 4 Introduction to Discrete Wavelet Transform; 4.1 Introduction; 4.2 Wavelet Transforms 4.2.1 Discrete Wavelet Transforms4.2.2 Concept of Multiresolution Analysis; 4.2.3 Implementation by Filters and the Pyramid Algorithm; 4.3 Extension to Two-Dimensional Signals; 4.4 Lifting Implementation of the Discrete Wavelet Transform; 4.4.1 Finite Impulse Response Filter and Z-transform; 4.4.2 Euclidean Algorithm for Laurent Polynomials; 4.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 4.4.4 Lifting; 4.4.5 Data Dependency Diagram for Lifting Computation; 4.5 Why Do We Care About Lifting?; 4.6 Summary; References; 5 VLSI Architectures for Discrete Wavelet Transforms 5.1 Introduction5.2 A VLSI Architecture for the Convolution Approach; 5.2.1 Mapping the DWT in a Semi-Systolic Architecture; 5.2.2 Mapping the Inverse DWT in a Semi-Systolic Architecture; 5.2.3 Unified Architecture for DWT and Inverse DWT; 5.3 VLSI Architectures for Lifting-based DWT; 5.3.1 Mapping the Data Dependency Diagram in Pipeline Architectures; 5.3.2 Enhanced Pipeline Architecture by Folding; 5.3.3 Flipping Architecture; 5.3.4 A Register Allocation Scheme for Lifting; 5.3.5 A Recursive Architecture for Lifting; 5.3.6 A DSP-Type Architecture for Lifting 5.3.7 A Generalized and Highly Programmable Architecture for Lifting |
| Record Nr. | UNINA-9910146052103321 |
|
Acharya Tinku
|
||
| Hoboken, N.J. ; ; [Chichester], : Wiley-Interscience, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
JPEG2000 standard for image compression : concepts, algorithms and VLSI architectures / / Tinku Acharya, Ping-Sing Tsai
| JPEG2000 standard for image compression : concepts, algorithms and VLSI architectures / / Tinku Acharya, Ping-Sing Tsai |
| Autore | Acharya Tinku |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J. ; ; [Chichester], : Wiley-Interscience, c2005 |
| Descrizione fisica | 1 online resource (294 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | TsaiPing-Sing <1962-> |
| Soggetto topico |
JPEG (Image coding standard)
Image compression |
| ISBN |
1-280-27275-9
9786610272754 0-470-32215-2 0-471-65375-6 0-471-65374-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
JPEG2000 Standard for Image Compression; Contents; Preface; 1 Introduction to Data Compression; 1.1 Introduction; 1.2 Why Compression?; 1.2.1 Advantages of Data Compression; 1.2.2 Disadvantages of Data Compression; 1.3 Information Theory Concepts; 1.3.1 Discrete Memoryless Model and Entropy; 1.3.2 Noiseless Source Coding Theorem; 1.3.3 Unique Decipherability; 1.4 Classification of Compression algorithms; 1.5 A Data Compression Model; 1.6 Compression Performance; 1.6.1 Compression Ratio and Bits per Sample; 1.6.2 Quality Metrics; 1.6.3 Coding Delay; 1.6.4 Coding Complexity
1.7 Overview of Image Compression1.8 Multimedia Data Compression Standards; 1.8.1 Still Image Coding Standard; 1.8.2 Video Coding Standards; 1.8.3 Audio Coding Standard; 1.8.4 Text Compression; 1.9 Summary; References; 2 Source Coding Algorithms; 2.1 Run-length Coding; 2.2 Huffman Coding; 2.2.1 Limitations of Huffman Coding; 2.2.2 Modified Huffman Coding; 2.3 Arithmetic Coding; 2.3.1 Encoding Algorithm; 2.3.2 Decoding Algorithm; 2.4 Binary Arithmetic Coding; 2.4.1 Implementation with Integer Mathematics; 2.4.2 The QM-Coder; 2.5 Ziv-Lempel Coding; 2.5.1 The LZ77 Algorithm 2.5.2 The LZ78 Algorithm2.5.3 The LZW Algorithm; 2.6 Summary; References; 3 JPEG: Still Image Compression Standard; 3.1 Introduction; 3.2 The JPEG Lossless Coding Algorithm; 3.3 Baseline JPEG Compression; 3.3.1 Color Space Conversion; 3.3.2 Source Image Data Arrangement; 3.3.3 The Baseline Compression Algorithm; 3.3.4 Discrete Cosine Transform; 3.3.5 Coding the DCT Coefficients; 3.3.6 Decompression Process in Baseline JPEG; 3.4 Progressive DCT-based Mode; 3.5 Hierarchical Mode; 3.6 Summary; References; 4 Introduction to Discrete Wavelet Transform; 4.1 Introduction; 4.2 Wavelet Transforms 4.2.1 Discrete Wavelet Transforms4.2.2 Concept of Multiresolution Analysis; 4.2.3 Implementation by Filters and the Pyramid Algorithm; 4.3 Extension to Two-Dimensional Signals; 4.4 Lifting Implementation of the Discrete Wavelet Transform; 4.4.1 Finite Impulse Response Filter and Z-transform; 4.4.2 Euclidean Algorithm for Laurent Polynomials; 4.4.3 Perfect Reconstruction and Polyphase Representation of Filters; 4.4.4 Lifting; 4.4.5 Data Dependency Diagram for Lifting Computation; 4.5 Why Do We Care About Lifting?; 4.6 Summary; References; 5 VLSI Architectures for Discrete Wavelet Transforms 5.1 Introduction5.2 A VLSI Architecture for the Convolution Approach; 5.2.1 Mapping the DWT in a Semi-Systolic Architecture; 5.2.2 Mapping the Inverse DWT in a Semi-Systolic Architecture; 5.2.3 Unified Architecture for DWT and Inverse DWT; 5.3 VLSI Architectures for Lifting-based DWT; 5.3.1 Mapping the Data Dependency Diagram in Pipeline Architectures; 5.3.2 Enhanced Pipeline Architecture by Folding; 5.3.3 Flipping Architecture; 5.3.4 A Register Allocation Scheme for Lifting; 5.3.5 A Recursive Architecture for Lifting; 5.3.6 A DSP-Type Architecture for Lifting 5.3.7 A Generalized and Highly Programmable Architecture for Lifting |
| Record Nr. | UNINA-9910818500803321 |
|
Acharya Tinku
|
||
| Hoboken, N.J. ; ; [Chichester], : Wiley-Interscience, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||